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Personality disorders are prevalent in 6–10% of the population, but their risk for cause-specific mortality is unclear. The aim of the study was to assess the association between personality disorders diagnosed in late adolescence and all-cause as well as cause-specific (cardiovascular-related, external-related) mortality.
Methods
We performed a longitudinal study on a historical prospective cohort based on nationwide screening prior to recruitment to the Israeli army. The study participants were 16–19-year-old persons who attended the army screening (medical and cognitive, including screening for psychiatric disorders) between 1967 and 2006. Participants were followed from 1967 till 2011.
Results
The study included 2 051 606 subjects, of whom 1 229 252 (59.9%) were men and 822 354 (40.1%) were women, mean age 17.36 years. There were 55 508 (4.5%) men and 8237 (1.0%) women diagnosed with personality disorders. The adjusted hazard ratio (HRs) for coronary, stroke, cardiovascular, external-related causes and all-cause mortality among men with personality disorders were 1.34 (1.03–1.74), 1.82 (1.20–2.76), 1.45 (1.23–1.71), 1.41 (1.30–1.53) and 1.44 (1.36–1.51), respectively. The absolute rate difference for all-cause mortality was 56.07 and 13.19 per 105 person-years among men and women, respectively. Among women with personality disorders, the adjusted HRs for external-related causes and all-cause mortality were 2.74 (1.87–4.00) and 2.01 (1.56–2.58). Associations were already evident within 10 years of follow-up.
Conclusions
Personality disorder in late adolescence is associated with increased risk of cardiovascular, external- and all-cause mortality. Increased cardiovascular mortality is evident before the age of 40 years and may point to the importance of lifestyle education already in youth.
Suicide is major cause of death in the IDF. The Suicide Prevention Program (SPP) led to significant reduction in yearly rates of suicide. A study regarding demographic changes of those who died by suicide was done to further investigate its affect.
Method:
Nested case control retrospective study based on medical and HR data gathered between 1992 and 2016. Participants were divided into four groups: soldiers who died by suicide and non-suicidal soldiers, before and after SPP implementation.
Results:
Multivariate analysis with suicide as the binary logistic dependent variable before and after implementation of the SPP among four groups revealed that before SPP the OR was higher for males (OR, 7.885; 95% CI, 5.071–12.259;p < 0.001) compared to after (OR, 3.281; 95% CI, 1.600–6.726; p = 0.001). For support unit soldiers the values before SPP were OR, 14.962 and 95% CI, 8.427–26.563 (p < 0.001) while after SPP they were OR, 6.304 and 95% CI, 3.334–11.919 (p < 0.001). After SPP, OR was higher for psychiatric diagnosis at recruitment (OR, 5.830; 95% CI, 2.046–16.612; p = 0.001) than before SPP (OR, 2.422; 95% CI, 1.526–3.842; p < 0.001).For soldiers from Ethiopian ethnicity, after SPP values were higher (OR, 8.130 and 95% CI, 2.868–23.047 (p < 0.001) compared to before (OR, 3.522; 95% CI, 1.2891–6.650; p < 0.001). For those of Druse religion before values (OR, 4.027; 95% CI, 2.211–7.331; p < 0.001) were significant but not after.
Conclusions:
While the SPP succeeded in reducing risk of suicide in situational factors, dispositional risk factors were not affected by the SPP. The OR decreased in critical masses and rose in unique and smaller groups.
Combat exposure is associated with elevated risk for post-traumatic stress disorder (PTSD). Despite considerable research on PTSD symptom clustering, it remains unknown how symptoms of PTSD re-organize following combat. Network analysis provides a powerful tool to examine such changes.
Methods
A network analysis approach was taken to examine how symptom networks change from pre- to post-combat using longitudinal prospective data from a cohort of infantry male soldiers (Mage = 18.8 years). PTSD symptoms measured using the PTSD Checklist (PCL) were assessed after 6 months of combat training but before deployment and again after 6 months of combat (Ns = 910 and 725 at pre-deployment and post-combat, respectively)
Results
Stronger connectivity between PTSD symptoms was observed post-combat relative to pre-deployment (global strength values of the networks were 7.54 pre v. 7.92 post; S = .38, p < 0.05). Both the re-experiencing symptoms cluster (1.92 v. 2.12; S = .20, p < 0.03) and the avoidance symptoms cluster (2.61 v. 2.96; S = .35, p < 0.005) became more strongly inter-correlated post-combat. Centrality estimation analyses revealed that psychological reaction to triggers was central and linked the intrusion and avoidance sub-clusters at post-combat. The strength of associations between the arousal and reactivity symptoms cluster remained stable over time (1.85 v. 1.83; S = .02, p = .92).
Conclusions
Following combat, PTSD symptoms and particularly the re-experiencing and avoidance clusters become more strongly inter-correlated, indicating high centrality of trigger-reactivity symptoms.
Previous studies reported an association between advanced paternal age at birth and increased risk for schizophrenia and bipolar disorder. While some hypothesize that this association is caused by de-novo mutations in paternal spermatozoa, others cite factors associated with psycho-social characteristics of fathers who have children at a late age. This study aims to test these hypotheses.
Methods
A historical-prospective, population-based cohort study, performed by linking the Israeli Draft Board Registry and the Israeli National Psychiatric Hospitalization Registry (N = 916 439; 4488 with schizophrenia, 883 with bipolar disorder). Odds ratios (OR) and two-sided 95% confidence intervals (CI) were calculated by logistic regression models, using paternal age as predictor and risk for later hospitalizations for schizophrenia or bipolar disorder as outcome measure. Models were first fitted unadjusted, then adjusted for paternal age at birth of the first child.
Results
In the unadjusted model, offspring of fathers aged 45 and above at birth had increased risk of schizophrenia (OR = 1.71, 95% CI 1.49–1.99) and bipolar disorder (OR = 1.63, 95% CI 1.16–2.24). However, taking into account paternal age at birth of first child, advanced paternal age was no longer associated with increased risk of schizophrenia (OR = 0.60, 95% CI 0.48–0.79) or bipolar disorder (OR = 1.03, 95% CI 0.56–1.90).
Conclusions
Controlling for paternal age at birth of the first offspring, advanced paternal age does not predict increased risk for schizophrenia or bipolar disorder. These data indicate that the association between advanced paternal age and having an offspring with schizophrenia and bipolar disorder is likely due to psychos-social factors, or common genetic variation associated with delayed initial fatherhood.
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